Rishit Sheth

According to our database, Rishit Sheth authored at least 11 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach.

Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Direct Loss Minimization for Sparse Gaussian Processes.

Yadi Wei, Rishit Sheth, Roni Khardon

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Weighted Meta-Learning.

Diana Cai, Rishit Sheth, Lester Mackey, Nicoló Fusi

CoRR, 2020

Differentiable Feature Selection by Discrete Relaxation.

Rishit Sheth, Nicoló Fusi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Feature Gradients: Scalable Feature Selection via Discrete Relaxation.

Rishit Sheth, Nicoló Fusi

CoRR, 2019

Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models.

Rishit Sheth, Roni Khardon

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Probabilistic Matrix Factorization for Automated Machine Learning.

Nicoló Fusi, Rishit Sheth, Melih Elibol

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models.

Rishit Sheth, Roni Khardon

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models.

Rishit Sheth, Roni Khardon

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Sparse Variational Inference for Generalized GP Models.

Rishit Sheth, Yuyang Wang, Roni Khardon

Proceedings of the 32nd International Conference on Machine Learning, 2015

2005

Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform.

Rishit Sheth, Kenneth E. Barner, Richard P. Schumeyer, Gonzalo R. Arce

J. Electronic Imaging, 2005